nazha-567's picture
feat: main
d420bd7
# __all__ = []
from fastai.vision.all import *
import gradio as gr
# Cell
learn = load_learner('pandaBears.pkl')
categories = ('Panda', 'Bear')
def classify_image(img):
pred,pred_idx,probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['panda.jpg', 'panda-cartoon.jpg', 'raccoon.jpg', 'bear.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)